Current Recommendations for the Management of Stroke Patients in the Middle East in the Era of COVID-19 Pandemic; Statement from the MENA SINO.

COVID-19 pandemic has led to a change in the way we manage acute medical illnesses. This pandemic had a negative impact on stroke care worldwide. The World Stroke Organization (WSO) has raised concerns due to the lack of available care and compromised acute stroke services globally. The numbers of thrombolysis and thrombectomy therapies are declining. As well as, the rates and door-to treatment times for thrombolysis and thrombectomy therapies are increasing. The stroke units are being reallocated to serve COVID-19 patients, and stroke teams are being redeployed to COVID-19 centers. Covid 19 confirmed cases and deaths are rising day by day. This pandemic clearly threatened and threatening all stroke care achievements regionally. Managing stroke patients during this pandemic is even more challenging at our region. The Middle East and North Africa Stroke and Interventional Neurotherapies Organization (MENA-SINO) is the main stroke organization regionally. MENA-SINO urges the need to developing new strategies and recommendations for stroke care during this pandemic. This will require multiple channels of interventions and create a protective code stroke with fast triaging path. Developing and expanding the tele-stroke programs are urgently required. There is an urgent need for enhancing collaboration and cooperation between stroke expertise regionally and internationally. Integrating such measures will inevitably lead to an improvement and upgrading of the services to a satisfactory level.

Intra-cortical brain-machine interfaces for controlling upper-limb powered muscle and robotic systems in spinal cord injury.

OBJECTIVE: Intracortical brain-machine interface (iBMI) is an assistive strategy to restore lost sensorimotor function by bridging the disrupted neural pathways to reanimate paralyzed limbs. However, to date, none of the studies explored the trade-offs between the performance criteria of different iBMI systems that decode discrete upper limb movements from intracortical neural recordings. METHODS: A systematic review of electronic databases using different MeSH terms from January 1990 to December 2019 was conducted. IBM® SPSS statistics version 25 (Released 2017, Armonk, NY: IBM) was used to evaluate for differences between groups using independent sample t-tests. RESULTS: A total of 18 patients from 15 studies were included in our analysis. The included studies involved iBMI controlled 5-robotic and 10-neuromuscular stimulated orthotics to perform skillful and coordinated movements that resulted in a clinically significant gain in tests of upper-limb functions. Pooled analysis revealed that the mean response time to execute 3-D reach and grasp task by the robotic-assisted limb was relatively longer (46.8 +/-101.5 s) compared to the neuro-muscular stimulated orthotics (15.8 +/-15.2 s); however, statistically insignificant [Mean difference (MD): 30.9, 95 % Confidence Interval (CI): -40.4-102.3, p = 0.35]. Furthermore, the accuracy in performing 3-D reach and grasp tasks after repetitive trials were better among patients with neuro-muscular stimulated orthotics (83.5 +/-12.7 %) compared to those with robotic-assisted prosthetic limb (69.1 +/- 23.6 %) with statistically significant difference (MD: 15.9, 95 % CI: 1.65-32.5, p = 0.05). CONCLUSION: Our study demonstrates that iBMI-assisted prosthetic limbs showed better accuracy and shorter response time among patients with neuro-muscular stimulated orthotics compared to robotic neuro-prosthetics.